Shanghai AI Lab open-sourced Scholar-S2. Its general capabilities rank top-tier among open-source models, and it matches leading closed-source models on long-horizon scientific tasks in biology, materials, chemistry, etc. It adopts a Memory Decoder architecture with pluggable domain memory modules—like an external brain—enabling deep specialization on demand without retraining, while preserving general abilities.....
NVIDIA CEO Huang Renxun praised OpenAI for launching the new model Astra on the X platform, stating that it took only four years from ChatGPT to o1 and then to Astra, and that AGI (Artificial General Intelligence) has already arrived. AGI refers to artificial intelligence with capabilities equivalent to or surpassing those of the average human. OpenAI called Astra the most intelligent model to date.
Anthropic appoints its first global affairs chief, legal scholar Mariano-Florentino Cuéllar. He reports to President Daniela Amodei and oversees global policy, international strategy, and government relations from SF headquarters. This marks the AI safety company’s expanding global policy push.....
Wang Li, former VP of Security at OpenAI and a Peking University alumnus, resigned due to health issues, stating she fell ill frequently over the past seven months, with stress exceeding her capacity to handle. She considered transferring positions but ultimately chose to leave. This leading figure in the field of AI security pressed the pause button after seven years of rapid progress in Silicon Valley.
An AI learning tool that can convert notes into mind maps, flashcards, and 3D memory palaces.
Contains over 40 AI tools for summarizing, analyzing, and writing, suitable for students, scholars, and professionals.
A one-stop AI academic toolbox that integrates multiple tools and covers key aspects of academic writing.
A multifunctional AI research assistant, covering math solving and text rewriting, suitable for learning, teaching, and research.
scholarly360
This is a text classification model based on the SetFit framework, specifically designed for contract clause classification tasks with an accuracy of 94.25%.
globuslabs
BERT-large variant pretrained on large-scale scientific paper collections with 340 million parameters, specializing in scientific literature comprehension
An MCP server for searching accurate scholarly articles. Currently, it supports ArXiv search, and more scholarly providers will be added in the future.
An MCP server that provides BibTeX - formatted reference data, integrating CiteAs and Google Scholar resources
A Google Scholar search and analysis tool based on the MCP protocol, providing paper search and scholar profile analysis functions, and supporting integration with MCP clients and Cherry Studio.
This project implements an MCP server that interacts with the Semantic Scholar API, providing functions such as paper search, obtaining paper/author details, and querying cited literature.
An implementation of the Semantic Scholar API service based on the FastMCP framework, providing functions for academic paper search, author information query, citation analysis, and recommendation.
Google Scholar MCP Server is an interface service that provides AI assistants with access to academic papers on Google Scholar through the Model Context Protocol (MCP). It supports keyword search, advanced retrieval, and author information query functions to help AI models retrieve academic paper metadata.
An MCP server plugin based on the Semantic Scholar API for academic literature retrieval
An academic paper search and download server based on the Model Context Protocol (MCP), supporting multiple academic platforms such as arXiv, Semantic Scholar, PubMed, and RePEc. It provides paper retrieval, download, and reading functions for LLM tools such as Claude Desktop.
A powerful scholarly research tool that integrates the search functions of multiple academic databases such as PubMed, Google Scholar, ArXiv, and JSTOR, providing functions such as paper search, full - text reading, key information extraction, citation management, and research organization.
This is an implementation of the scientific search MCP protocol designed for the Cursor editor, integrating multiple academic search engines (such as Google Scholar, PubMed, arXiv, etc.), supporting Semantic Scholar search through Tor, and providing functions such as PDF processing.
An MCP server that provides access to the Semantic Scholar academic graph API, supporting functions such as searching for academic papers, author information, obtaining citation analysis, and PDF downloads.
This project is a series of MCP servers based on SerpAPI and YouTube, providing AI assistants with various search functions, including Google Search, News, Scholar, Trends, Finance, Maps, Images, as well as YouTube Search and caption retrieval.
ScholarScope MCP is an academic research MCP server built on FastMCP, providing functions such as paper, author, and institution search, citation relationship query, and full - text retrieval through the OpenAlex API, specifically designed for intelligent research assistants.
A Semantic Scholar API service implementation based on the FastMCP framework, providing functions such as academic paper search, author information query, citation analysis, etc., supporting batch operations and advanced searches.
The Scholar Sidekick MCP Server is an academic citation tool that can parse, format, and export references for various academic identifiers, supporting over 10,000 citation formats and multiple export formats.
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